Monitoring
Pricing
Pay per usage
Monitoring
This actor monitors your actors' statuses, validates their datasets' data, and displays useful information in an interactive dashboard. And if something happens, you'll get notified via email or Slack.
4.4 (5)
Pricing
Pay per usage
14
Total users
160
Monthly users
3
Runs succeeded
39%
Issue response
4.5 days
Last modified
a year ago
You can access the Monitoring programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "dashboardStatisticsFrequency": "Every day at noon",10 "validationCheckOptions": """/* global ow */11// The `ow` variable represents the ow validation variable. More at https://sindresorhus.com/ow/index.html12 [13 {14 filter: \"us\", // matches all targets with \"us\" pattern15 minItemCount: 5000,16 schema: {17 url: ow.string.url,18 description: ow.string,19 },20 },21 {22 Ids: [\"A1b2C3d4\", \"B1A2d45\"], // matches 2 targets with specific IDs23 schema: {24 itemId: ow.number,25 region: ow.string,26 },27 },28]""",29 "validationCheckFrequency": "Per run",30 "duplicationCheckFrequency": "Per run",31}32
33# Run the Actor and wait for it to finish34run = client.actor("apify/monitoring").call(run_input=run_input)35
36# Fetch and print Actor results from the run's dataset (if there are any)37print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])38for item in client.dataset(run["defaultDatasetId"]).iterate_items():39 print(item)40
41# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startMonitoring API in Python
The Apify API client for Python is the official library that allows you to use Monitoring API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
